Can weather cause joint and muscle pain?

Ask anyone with an old knee injury, arthritis, or a back that has never been quite the same since a bad winter, and you will hear a version of the same sentence: "I can feel the weather coming." A grandmother predicts rain from the ache in her hip. A former athlete says their shoulder tightens up two days before a front arrives. It is one of the oldest and most widespread health beliefs in the world — Hippocrates wrote about air, water and places influencing disease more than two thousand years ago, and the idea has never gone away.

So is it real? The honest answer is: partly, and less dramatically than folklore suggests. Large modern studies do find small but measurable links between certain weather conditions and how much joint and muscle pain people report. But the effects are modest, they differ from person to person, and several careful studies have found no link at all. There is also a well-documented human tendency to remember the achy rainy days and quietly forget the achy sunny ones.

This article walks through what researchers have actually measured, what plausible biological explanations exist, why the studies disagree with each other, and how you can find out whether your own body responds to weather — which is a much more answerable question than whether everyone's does.

The short answer

Weather does not cause joint or muscle disease. Nothing about a low-pressure system creates arthritis, damages cartilage, or injures a muscle. What the evidence suggests is narrower: in some people who already have a painful condition — osteoarthritis, rheumatoid arthritis, fibromyalgia, chronic back pain, an old injury — certain weather patterns are associated with a slightly higher chance of a worse pain day.

Think of it as a volume knob, not a switch. The underlying pain is already there. Weather may nudge the volume up or down by a small amount, on top of much larger influences like sleep quality, activity levels, stress, and the natural day-to-day fluctuation of the condition itself.

What the biggest studies found

Cloudy with a Chance of Pain: humidity, wind and low pressure

The largest and most-cited study on this question is Cloudy with a Chance of Pain, run by the University of Manchester and published in npj Digital Medicine in 2019. It was a smartphone-based citizen-science project: participants across the UK recorded their pain daily, and the app matched each report to local weather using the phone's GPS. More than 13,000 people took part; the main analysis used 2,658 participants who submitted data consistently over 15 months.

The results were nuanced. The researchers found statistically significant but modest associations between pain and three weather variables:

• Higher relative humidity — associated with higher odds of a pain event
• Lower atmospheric pressure — associated with higher odds of a pain event
• Higher wind speed — associated with higher odds of a pain event

Temperature and rainfall, by contrast, showed little independent effect once the other variables were accounted for. Combining the unfavourable conditions, the study estimated that on a damp, windy, low-pressure day the odds of a painful day were roughly 20% higher than on an average day.

Two details matter here. First, the associations held even after the researchers adjusted for mood and physical activity — so this was not simply "people feel worse when the weather is gloomy" or "people move less on bad days." Second, a 20% increase in odds is real but small. It means bad-weather days are somewhat more likely to be painful, not that they reliably will be.

The osteoarthritis meta-analysis: a contradiction worth noticing

A 2023 systematic review and meta-analysis pooled 14 observational studies covering 2,102 people with osteoarthritis. It also found associations — but pointing partly the opposite way. In the pooled data, higher barometric pressure correlated with more pain (summary r = 0.35), lower temperature correlated with more pain (r = −0.36), and humidity showed only a weak correlation (r = 0.086).

Note the conflict: the Manchester smartphone study linked low pressure to more pain; this meta-analysis linked high pressure to more pain. When two credible bodies of evidence disagree on the direction of an effect, the most likely explanations are that the true effect is small, that it varies between individuals and conditions, or that the studies measured pain and weather in ways that are not directly comparable. The meta-analysis authors said as much, calling for standardised methods in future work.

The studies that found nothing

A responsible answer has to include the negative results, and there are several strong ones.

Rainfall and medical visits (BMJ, 2017). Researchers linked US Medicare claims to rainfall records from local weather stations — 1,552,842 adults aged 65 and over, and more than 11.6 million outpatient visits between 2008 and 2012. If rain made joints ache, you would expect more visits for joint and back pain on rainy days. There was essentially no difference: 6.35% of visits involved a pain complaint on rainy days versus 6.39% on dry days. No association appeared in the week following rain either, nor in the subgroup with rheumatoid arthritis.

Acute low back pain (Australia). A case-crossover study in Sydney primary-care clinics compared the weather during the period when a new back-pain episode began with the weather during control periods for the same people. Temperature, humidity, air pressure and precipitation did not increase the risk of an episode. Only higher wind speed and wind gusts showed a small increase — and even that echoed only one of the Manchester findings.

Fibromyalgia. Fibromyalgia involves widespread muscle pain and is the condition where weather sensitivity is most often reported anecdotally. The research is genuinely split. A Dutch daily-diary study found that weather changes did not predict same-day or next-day pain or fatigue — the authors concluded the evidence weighed against a daily weather effect. Other studies, including a 2019 analysis, did find that lower barometric pressure and higher humidity were associated with more intense and more unpleasant pain. Notably, individual differences in weather response did not line up with age, function, or mental-health measures, which suggests that if sensitivity is real, it is a personal trait we cannot yet predict from a questionnaire.

Hand osteoarthritis (DIGICOD cohort). A recent French cohort of 377 people with hand osteoarthritis found that the main pain score was not significantly associated with temperature, humidity or barometric pressure, and that stiffness and function were not associated with any weather variable.

The pattern across all of this is consistent with a small, variable effect that some study designs can detect and others cannot.

Why weather could plausibly affect joints and muscles

Association is not explanation. But there are several mechanisms that are biologically reasonable, and one that has been demonstrated fairly convincingly in animals.

Pressure changes and tissue expansion

Joints are not solid blocks. A joint capsule contains fluid, gas is dissolved in the tissues, and inflamed tissue holds extra water. When outside air pressure falls, the pressure difference across those tissues changes slightly, and swollen or inflamed tissue may expand a little. In a joint that is already inflamed or has worn cartilage, there is less room to absorb that change, and nerve endings in the capsule are already sensitised. The same logic applies to a muscle with a chronic strain surrounded by irritated tissue.

The effect is small in absolute terms — a passing weather front changes pressure by roughly the same amount as riding an elevator up a few dozen floors. That is part of why researchers debate whether it can be perceived at all. The counter-argument is that a sensitised nervous system does not need a large signal to register a change.

The inner ear as a pressure sensor

The most direct experimental evidence comes from animal work led by Japanese researchers, notably Sato and colleagues. In rodents with nerve-injury pain models, lowering barometric pressure by around 27 hPa — a change well within the natural weather range — reliably worsened pain-related behaviour. Two follow-up findings make this more than a curiosity:

• Destroying the inner ear abolished the effect. This points to a barometric sensor located in the inner ear, the same organ that handles balance and pressure equalisation.
• Removing sympathetic nervous input also blocked the low-pressure effect, suggesting the signal travels via the body's "fight or flight" system rather than acting on the joint directly.

Later work in mice showed that lowering pressure activates neurons in the superior vestibular nucleus — a brain region that processes inner-ear signals — providing a plausible route from "air pressure dropped" to "pain feels worse."

This is animal evidence, and it should be read as such: it establishes that a pressure-sensing pathway capable of modulating pain exists, not that it explains any particular person's knee.

Cold, stiffness and circulation

Cold weather has its own, more familiar mechanics. In cold conditions the body constricts surface blood vessels to conserve core heat, which reduces blood flow to muscles and the tissues around joints. Muscles at a lower temperature are stiffer and contract more sluggishly; nerve conduction slows slightly; and people naturally move less and warm up less thoroughly. Stiffness itself is often experienced as pain, especially first thing in the morning or after sitting still.

This is one of the more intuitive parts of the picture, and it fits the meta-analysis finding that lower temperature correlated with more osteoarthritis pain.

Behaviour, mood and daylight

Weather changes what we do. Cold, wet, or windy days mean less walking, less gardening, more time seated. For osteoarthritis in particular, reduced movement tends to increase stiffness — motion is what circulates joint fluid. Short, dark winter days also affect mood and sleep, and both mood and poor sleep are strongly and independently linked to how intensely pain is experienced.

The Manchester study specifically adjusted for mood and activity and still found weather associations, so behaviour is not the whole story — but in everyday life it is likely a meaningful part of it.

Why memory makes the link feel stronger than it is

There is a psychological effect that almost certainly inflates the perceived connection, and it is worth understanding rather than dismissing.

Once you believe that rain makes your knee hurt, your attention changes. On a rainy day with an aching knee, the two facts connect and the memory is stored as evidence. On a rainy day with a comfortable knee, nothing notable happens and nothing is stored. On a sunny day with an aching knee, the ache is attributed to something else — you overdid it in the garden, you slept badly. Over months, memory accumulates confirmations and discards the rest.

This is a normal feature of human cognition, not gullibility. It is precisely why researchers use daily prospective records — where you log how you feel before knowing whether the association will show up — rather than asking people to recall. It is also why a personal diary is far more informative than a personal impression.

Which conditions report weather sensitivity most

Reported weather sensitivity clusters in conditions that involve chronic pain rather than acute injury:

• Osteoarthritis, especially of the knee, hip and hand — the most studied group, and where surveys often find a majority of patients reporting weather-related pain
• Rheumatoid arthritis and other inflammatory arthritis
• Fibromyalgia and other widespread muscle-pain conditions
• Chronic low back and neck pain
• Old injuries, fractures and surgical sites that remain sensitive years later
• Neuropathic pain — the condition modelled in the animal pressure experiments

If you have none of these and your muscles ache when the weather turns, the more likely explanations are ordinary ones: less movement, poor sleep, tension from cold, or the beginning of a viral infection, which is common in seasons when respiratory viruses circulate.

How to find out whether weather affects you

Because the population-level effect is small and variable, group averages tell you almost nothing about your individual case. The only way to answer the personal question is to collect personal data — and unlike most health questions, this one is genuinely testable at home.

Record daily, not selectively. The single most important rule. Log every day, including the days you feel fine. A diary that only gets filled in on bad days will confirm any theory you already hold.

Record before you look at the forecast. Ideally, note how you feel first, and only then check what the weather was doing. This keeps expectation from colouring the rating.

Use a simple, consistent scale. A 0–10 number for joint pain and another for muscle ache, entered at roughly the same time each day, beats detailed prose. Consistency matters more than precision.

Log the obvious confounders too. Hours slept, unusual physical exertion, stress, and whether you were unwell. Without these, a rough week will look like a weather effect when it was really three bad nights of sleep.

Give it enough time. Weather patterns cycle over weeks. Six to eight weeks of daily entries is a reasonable minimum before any pattern is worth trusting, and a few months is better — ideally spanning more than one season.

Look for the pattern, not the anecdote. The question is not "did my knee hurt when that storm came through" but "across sixty days, were my worse days systematically associated with particular conditions?"

MeteoStorms is built for exactly this: it records your daily wellbeing alongside the actual atmospheric pressure and geomagnetic data for your location, so the comparison is made against measured values rather than remembered ones. Whatever tool you use, the value is the same — you end up with your own data instead of a general claim.

What the evidence does not support

A few things are worth stating plainly, because they circulate widely:

• Weather does not cause arthritis. People in damp or cold climates do not develop osteoarthritis at dramatically different rates because of the weather. The idea that moving to a dry, warm climate cures arthritis is not supported; some people report feeling more comfortable, which is not the same thing.
• Weather sensitivity is not a measure of how serious your condition is. There is no evidence that feeling the weather means more joint damage.
• Nobody can predict a specific pain flare from a forecast. The associations are statistical tendencies across many people and many days, nowhere near precise enough for individual prediction.
• Geomagnetic storms are a separate question from weather. Atmospheric pressure and geomagnetic activity are physically unrelated phenomena — a strong Kp-index day can be a calm, clear, high-pressure day at ground level. Evidence linking geomagnetic activity specifically to joint and muscle pain is much thinner than the (already modest) evidence on atmospheric pressure.

Areas of genuine uncertainty

It is worth being explicit about what remains unresolved, because the confident claims on both sides tend to overstate things:

• Whether the effect is driven mainly by pressure, humidity, temperature or wind — studies disagree, and these variables are correlated with each other in real weather, which makes them hard to separate.
• Even the direction of the pressure effect is contested, with the largest smartphone study and the largest osteoarthritis meta-analysis pointing opposite ways.
• Why some people appear sensitive and others do not. No demographic, psychological or clinical marker has reliably identified weather-sensitive individuals.
• Whether the mechanism demonstrated in animals — the inner-ear barometric pathway — operates meaningfully in humans. It has not been directly demonstrated in people.

Research is genuinely ongoing here, and anyone who tells you the question is settled in either direction is going beyond the evidence.

When it is worth talking to a doctor

Weather tracking is about understanding patterns, not about managing a medical condition. Some signs are worth discussing with a healthcare professional regardless of the forecast: joint pain that is new, worsening, or spreading; a joint that is swollen, hot, red, or that you cannot move properly; muscle pain accompanied by fever, marked weakness, or dark urine; pain that wakes you at night or does not settle with rest; or joint and muscle pain that is steadily eroding your daily life.

A record of how you have actually felt over the past weeks is genuinely useful in that conversation — it turns "it's been worse lately" into something concrete.

The bottom line

Can weather cause joint and muscle pain? It cannot cause the underlying condition. But in people who already live with chronic joint or muscle pain, there is credible evidence that certain conditions — most consistently high humidity, and to varying degrees changes in atmospheric pressure, low temperature and strong wind — are associated with a modest increase in the likelihood of a worse day. The largest study to date put that increase at around 20% on the least favourable days.

At the same time, several large, well-designed studies found no effect, the direction of the pressure relationship is disputed, and individual variation is wide. Your grandmother predicting rain from her hip was not imagining things, and she also was not running a controlled experiment.

The practical conclusion is not to argue about the population average but to find your own answer. Track daily, track honestly, include the good days, and after a couple of months look at whether the pattern is there. Either way you will know something specific and useful about your own body — which is more than any general study can tell you.

Sources

• Dixon W.G. et al., How the weather affects the pain of citizen scientists using a smartphone app — npj Digital Medicine (2019). https://www.nature.com/articles/s41746-019-0180-3
• University of Manchester, Faculty of Biology, Medicine and Health — Investigating weather and chronic pain (Cloudy with a Chance of Pain). https://www.bmh.manchester.ac.uk/stories/investigating-weather-chronic-pain/
• Jena A.B. et al., Association between rainfall and diagnoses of joint or back pain: retrospective claims analysis — BMJ (2017). https://pubmed.ncbi.nlm.nih.gov/29237605/
• Steffens D. et al., Effect of weather on back pain: results from a case-crossover study — Arthritis Care & Research (2014). https://pubmed.ncbi.nlm.nih.gov/25044376/
• Associations between weather conditions and osteoarthritis pain: a systematic review and meta-analysis — PMC (2023). https://pmc.ncbi.nlm.nih.gov/articles/PMC10120534/
• Association between weather features and symptoms in hand osteoarthritis: results from the DIGICOD cohort — PMC (2025). https://pmc.ncbi.nlm.nih.gov/articles/PMC12256303/
• Bossema E.R. et al., Weather conditions do not affect fibromyalgia pain or fatigue — summarised by ScienceDaily (2013). https://www.sciencedaily.com/releases/2013/06/130604094657.htm
• Blame it on the weather? The association between pain in fibromyalgia, relative humidity, temperature and barometric pressure — PLOS ONE (2019). https://pmc.ncbi.nlm.nih.gov/articles/PMC6510434/
• Funakubo M. / Sato J. et al., The inner ear is involved in the aggravation of nociceptive behavior induced by lowering barometric pressure of nerve injured rats — PubMed (2009). https://pubmed.ncbi.nlm.nih.gov/19318284/
• Sato J. et al., Lowering barometric pressure aggravates mechanical allodynia and hyperalgesia in a rat model of neuropathic pain — PubMed (1999). https://pubmed.ncbi.nlm.nih.gov/10336174/
• Lowering barometric pressure induces neuronal activation in the superior vestibular nucleus in mice — PLOS ONE (2019). https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0211297
• Arthritis Foundation — Weather and arthritis connection. https://www.arthritis.org/health-wellness/healthy-living/managing-pain/understanding-pain/weather-arthritis-connection
• NOAA Space Weather Prediction Center — space weather and Kp-index data. https://www.swpc.noaa.gov/
• GFZ Potsdam — geomagnetic Kp/Hp indices. https://www.gfz-potsdam.de/en/kp-index/